Evidence map›Paper›PMID 42774803›Full record

ArticleEnvironment & health (Washington, D.C.)2026

Speciation of Arsenic in Urine from the Health Effects of Arsenic Longitudinal Study (HEALS) Revealing New Arsenic Species and Individual Variability.

Tetiana Davydiuk, Jagdeesh S Uppal, Juanjuan Fu, Xiufen Lu, Lin Tong, Habibul Ahsan, Brandon Pierce, X Chris Le

Abstract read
In one paragraph

Article in Environment & health (Washington, D.C.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Tetiana DavydiukDepartment of Chemistry, University of Alberta, Edmonton, Alberta T6G 2R3,Canada.
Jagdeesh S UppalDivision of Analytical and Environmental Toxicology, Department of Laboratory Medicine and Pathology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta T6G 2G2,Canada.
Juanjuan FuDivision of Analytical and Environmental Toxicology, Department of Laboratory Medicine and Pathology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta T6G 2G2,Canada.
Xiufen LuDivision of Analytical and Environmental Toxicology, Department of Laboratory Medicine and Pathology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta T6G 2G2,Canada.
Lin TongDepartment of Public Health Sciences, University of Chicago, Chicago, Illinois 60637,United States.
Habibul AhsanDepartment of Public Health Sciences, University of Chicago, Chicago, Illinois 60637,United States.
Brandon PierceDepartment of Public Health Sciences, University of Chicago, Chicago, Illinois 60637,United States.
X Chris LeDepartment of Chemistry, University of Alberta, Edmonton, Alberta T6G 2R3,Canada.ORCID https://orcid.org/0000-0002-7690-6701

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

More than 100 million people around the world are exposed to arsenic in drinking water that exceeds the World Health Organization guideline level of 10 μg/L. Ingestion of water and food is the main route of human exposure to arsenic. Arsenic species excreted into urine serve as a useful biomarker of exposure and a potential marker of susceptibility, which requires speciation of arsenic in population studies. We report here the determination of arsenic species in 1873 urine samples from the Health Effects of Arsenic Longitudinal Study (HEALS) in Araihazar, Bangladesh. This double-blind research involved detection of inorganic arsenite (iAs

Indexed as

arsenic speciationbiomarkerdrinking waterenvironmental exposurehealth effectshuman urineskin lesionurinary metabolites

Identifiers

PMID42774803
PMCPMC13595380

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.